Keyword: neural networks

Found 847 papers in total
Forecasting Government Bond Yields with Neural Networks Considering Cointegration
Forecasting Government Bond Yields with Neural Networks Considering Cointegration
2016,
This paper discusses techniques that might be helpful in predicting interest rates and...
Adaptive Evolutionary Neural Networks for Forecasting and Trading without a Data-Snooping Bias
Adaptive Evolutionary Neural Networks for Forecasting and Trading without a Data-Snooping Bias
2016,
In this paper, we present two neural‐network‐based techniques: an...
Gradient-based back-propagation dynamical iterative learning scheme for the neuro-fuzzy inference system
Gradient-based back-propagation dynamical iterative learning scheme for the neuro-fuzzy inference system
2016,
In this paper, a gradient‐based back propagation dynamical iterative learning...
Comparison of Near Neighbour and Neural Network in Travel Forecasting
Comparison of Near Neighbour and Neural Network in Travel Forecasting
2016,
In this paper we confirm the existence of nonlinear dynamics in a time series of...
Robust stability of uncertain fuzzy BAM neural networks of neutral-type with Markovian jumping parameters and impulses
Robust stability of uncertain fuzzy BAM neural networks of neutral-type with Markovian jumping parameters and impulses
2011,
In this paper, the problem of neutral‐type impulsive bidirectional associative...
Pattern-Similarity-Based Model for Time Series Prediction
Pattern-Similarity-Based Model for Time Series Prediction
2015,
This research proposes a pattern/shape‐similarity‐based clustering...
An artificial neural network based decision support system for energy efficient ship operations
An artificial neural network based decision support system for energy efficient ship operations
2016,
Reducing fuel consumption of ships against volatile fuel prices and greenhouse gas...
Neural Network based calibration of atmospheric density models
Neural Network based calibration of atmospheric density models
2015,
Atmospheric density is the most important factor for accurate estimation of the drag...
A neural network-based approach for part family classification for a reconfigurable manufacturing system
A neural network-based approach for part family classification for a reconfigurable manufacturing system
2016,
The design of RMS initiates with the classification of parts into families, after...
Improved prediction of household expenditure by living standard measures via a unique neural network: the case of Iran
Improved prediction of household expenditure by living standard measures via a unique neural network: the case of Iran
2016,
There is a growing interest in predicting of household expenditure and poverty...
A Neural Network Approach to Find The Cumulative Failure Distribution: Modeling and Experimental Evidence
A Neural Network Approach to Find The Cumulative Failure Distribution: Modeling and Experimental Evidence
2016,
The failure prediction of components plays an increasingly important role in...
A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses
A Hybrid Method for Structural System Reliability-Based Design Optimization and its Application to Trusses
2016,
Most research studies on structural optimum design have focused on...
Speaker verification using heterogeneous neural network architecture with linear correlation speech activity detection
Speaker verification using heterogeneous neural network architecture with linear correlation speech activity detection
2014,
This paper presents a multi‐level speaker verification system that uses 64...
Applying DEA‐BPN to Enhance the Explanatory Power of Performance Measurement
Applying DEA‐BPN to Enhance the Explanatory Power of Performance Measurement
2015,
A better measurement tool can provide more accurate information to improve the...
Automatic questionnaire survey by using the collective message over the Internet
Automatic questionnaire survey by using the collective message over the Internet
2015,
As to implement questionnaire survey, a researcher usually has to spend much time and...
Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques
Forecasting Daily and Monthly Exchange Rates with Machine Learning Techniques
2015,
In this paper we propose and test a forecasting model on monthly and daily spot prices...
Prediction modeling and pattern recognition for patient readmission
Prediction modeling and pattern recognition for patient readmission
2016,
Readmission is a major source of cost for healthcare systems. Hospital‐specific...
A Comparison of Different Classification Techniques to Determine the Change Causes in Hotelling's T2 Control Chart
A Comparison of Different Classification Techniques to Determine the Change Causes in Hotelling's T2 Control Chart
2015,
To detect out‐of control situations using multivariate control charts is...
Surrogate assisted-hybrid differential evolution algorithm using diversity control
Surrogate assisted-hybrid differential evolution algorithm using diversity control
2015,
Evolutionary algorithms (EAs) being a major optimization framework, typically require...
Automated emotion recognition employing a novel modified binary quantum-behaved gravitational search algorithm with differential mutation
Automated emotion recognition employing a novel modified binary quantum-behaved gravitational search algorithm with differential mutation
2015,
The present paper proposes a supervised learning based automated human facial emotion...
Strategic Revenue Management under Uncertainty: A Case Study on Real Estate Projects in India
Strategic Revenue Management under Uncertainty: A Case Study on Real Estate Projects in India
2015,
This paper proposes an approach for strategic revenue management under uncertainty for...
Artificial immune algorithm-based credit evaluation for mobile telephone customers
Artificial immune algorithm-based credit evaluation for mobile telephone customers
2015,
The arrearage problem is a critical concern for China’s mobile communication...
Application of temporal difference learning rules in short-term traffic flow prediction
Application of temporal difference learning rules in short-term traffic flow prediction
2015,
Studying dynamic behaviours of a transportation system requires the use of the system...
A dual-tree complex wavelet transform-based approach for recognition of power system transients
A dual-tree complex wavelet transform-based approach for recognition of power system transients
2015,
The present paper proposes a dual‐tree complex wavelet transform (DTCWT) based...
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